category: Low Power-High Performance

category: Auto, Security & Edge AI

Workload-Specific Hardware Accelerators
By Ed Sperling - 13 Aug, 2025 - Comments: 0

Workload-specific hardware accelerators are becoming essential in large data centers for two reasons. One is that general-purpose processing elements cannot keep up with the workload demands or latency requirements. The second is that they need to be extremely efficient due to limited electricity from the grid and the high cost of cooling these devices. Sharad Chole, chief scientist and co-foun... » read more

Scaling DRAM Technology To Meet Future Demands: Challenges And Opportunities
By Rambus - 13 Aug, 2025 - Comments: 0

Since the invention of the 1T1C bit cell more than 50 years ago, DRAMs have become the main memory of choice for processors in computer systems and many consumer electronics devices. As new use computing paradigms have been created, including 3D graphics, cloud computing, smart phones, and AI processing, specialized processors and DRAM memories have been developed that are optimized for these u... » read more

Building An AI Chip: Pre Silicon Planning
By Synopsys - 13 Aug, 2025 - Comments: 0

This white paper highlights the challenges of AI chip design, including balancing performance, cost, and power efficiency. It emphasizes the importance of early architecture exploration to avoid costly design revisions and ensure optimal power-performance trade-offs. The paper underscores the need for secure, efficient, and scalable IP solutions to meet the evolving demands of AI applications, ... » read more

AI and Data-Driven Methods To Make Telecom Networks Smarter, More Efficient
By Fraunhofer IIS/EAS - 13 Aug, 2025 - Comments: 0

As the demand for faster and more affordable mobile connectivity grows, so does the challenge of ensuring that networks can keep up – both in performance and profitability. A new technical paper titled " Hierarchical Feature-based Time Series Clustering Approach for Data-driven Capacity Planning of Cellular Networks"  features a multi-level, explainable clustering framework that analyzes ... » read more

Edge AI: Enabling Smart IoT Applications
By Arm - 13 Aug, 2025 - Comments: 0

As industries race to unlock the next wave of innovation, edge AI is emerging as a game-changer—bringing intelligent, real-time data processing directly to the device level across industries. ‘Edge AI: Enabling Smart IoT Applications’ is your in-depth guide to the transformative potential of artificial intelligence at the edge. This insightful eBook explores 15 powerful use cases that ... » read more

Best Practices to Optimize Infrastructure for Simulations
By Ansys - 13 Aug, 2025 - Comments: 0

Our Best Practices Guide equips you with expert strategies for leveraging high-performance computing (HPC) to maximize Ansys workload efficiency and overcome common challenges. As simulation complexity increases, a robust computing infrastructure is essential for rapid and large-scale modeling. Modern HPC systems provide: High-core-count CPUs for superior memory and compute perfo... » read more

Time-of-Flight Decoding Enhanced By Tensilica Vision DSPs
By Cadence - 13 Aug, 2025 - Comments: 0

Time-of-Flight (ToF) technology has become a vital tool for precise depth perception in computer vision, driving innovation across diverse applications such as autonomous systems and medical equipment. Efficient processing of ToF data is paramount for realizing this technology’s full potential. This document highlights how Cadence's Tensilica Vision DSP architecture is significantly adv... » read more

What’s Different About HBM4
By Ed Sperling - 11 Aug, 2025 - Comments: 0

Memory bandwidth is limiting the flow of huge datasets that are needed to train AI models. There is much more data to process, store, and retrieve, but the speed at which that data moves through high-bandwidth memory (HBM) stacks is significantly lower than the speed at which data can be processed. Frank Ferro, group director for product management at Cadence, talks about the new HBM4 standard,... » read more

Research Bits: August 11
By Jesse Allen - 11 Aug, 2025 - Comments: 0

Fluorine-free ferroelectrics Researchers from Case Western Reserve University, Vanderbilt University, Pennsylvania State University, Brookhaven National Laboratory, Tennessee State University, and University of Tennessee created a ferroelectric polymer for infrared detectors and sensors in wearable electronics that is made without fluorine. The most common ferroelectric polymer is poly(vinylid... » read more

Research Bits: August 5
By Jesse Allen - 05 Aug, 2025 - Comments: 0

Non-volatile RF switches Researchers from Ulsan National Institute of Science and Technology (UNIST) designed non-volatile RF switches based on vanadium oxide (VOx) for high-frequency bands used in next-generation wireless communications like 6G. The RF switch uses a memristor structure that enables it to operate and maintain its set state without consuming standby power. Additionally, the ... » read more

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